Vinnepand, Mathias; Fischer, Peter; Jöris, Olaf; Hambach, Ulrich; Zeeden, Christian; Schulte, Philipp; Fitzsimmons, Kathryn E; Prud'homme, Charlotte; Perić, Zoran; Schirmer, Wolfgang; Lehmkuhl, Frank; Fiedler, Sabine; Vött, Andreas (2022): Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences –Bulk Geochemical and Granulometric data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.940558
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Published: 2022-02-01 • DOI registered: 2022-03-11
Abstract:
In this study, we present a granulometric- and geochemical dataset for the Schwalbenberg Loess-Palaeosol-Sequence (LPS) in the Middle Rhine Valley (Germany) that covers the Upper Pleistocene in a resolution so far unprecedented for continental records in western Central Europe. Complexities in formation of loess deposits cause interfering geochemical signatures (e.g., provenance- vs. weathering- signals) limiting a straight-forward interpretation. In this context we used multivariate statistics that integrate information on grainsize (Laser Diffraction Particle Sizer) and geochemistry (XRF, ICP-OES) indicative for provenance shifts, mineral sorting during transport and reworking and weathering into Principal Component Analyses and Linear Discriminant Analyses. Our approach provides a key for tracing ecological changes throughout climate oscillations across continents.
Keyword(s):
Supplement to:
Vinnepand, Mathias; Fischer, Peter; Jöris, Olaf; Hambach, Ulrich; Zeeden, Christian; Schulte, Philipp; Fitzsimmons, Kathryn E; Prud'homme, Charlotte; Perić, Zoran; Schirmer, Wolfgang; Lehmkuhl, Frank; Fiedler, Sabine; Vött, Andreas (2022): Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences - A key to Upper Pleistocene ecosystem responses to climate changes in western Central Europe. CATENA, 212, 106076, https://doi.org/10.1016/j.catena.2022.106076
Related to:
Fischer, Peter; Jöris, Olaf; Fitzsimmons, Kathryn E; Vinnepand, Mathias; Prud'homme, Charlotte; Schulte, Philipp; Hatte, Christine; Hambach, Ulrich; Lindauer, Susanne; Zeeden, Christian; Perić, Zoran; Lehmkuhl, Frank; Wunderlich, Tina; Wilken, Dennis; Schirmer, Wolfgang; Vött, Andreas (2021): Millennial-scale terrestrial ecosystem responses to Upper Pleistocene climatic changes: 4D-reconstruction of the Schwalbenberg Loess-Palaeosol-Sequence (Middle Rhine Valley, Germany). CATENA, 196, 104913, https://doi.org/10.1016/j.catena.2020.104913
Funding:
German Research Foundation (DFG), grant/award no. 337232800: Terrestrial system response to North Atlantic climate oscillations during the last glacial cycle: high resolution loess-palaeosol sequences from Remagen-Schwalbenberg (Middle Rhine Valley, Germany) – TerraClime
Coverage:
Latitude: 50.562378 * Longitude: 7.240425
Minimum DEPTH, sediment/rock: 0.330 m * Maximum DEPTH, sediment/rock: 26.855 m
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DEPTH, sediment/rock | Depth sed | m | Vinnepand, Mathias | Geocode | |
| 2 | Subordinate Stratigraphic Unit | SSU | Vinnepand, Mathias | |||
| 3 | Stratigraphic Unit | SU | Vinnepand, Mathias | |||
| 4 | Size fraction < 0.002 mm, clay | <2 µm | % | Vinnepand, Mathias | ||
| 5 | Size fraction < 0.063 mm, mud, silt+clay | <63 µm | % | Vinnepand, Mathias | ||
| 6 | Size fraction 0.0526-0.0260 mm | 52.6-26 µm | % | Vinnepand, Mathias | ||
| 7 | Size fraction < 0.026 mm | <26 µm | % | Vinnepand, Mathias | ||
| 8 | Calcium | Ca | % | Vinnepand, Mathias | ||
| 9 | Aluminium, dithionite extractable | AlD | % | Vinnepand, Mathias | ||
| 10 | Silicon | Si | % | Vinnepand, Mathias | ||
| 11 | Aluminium | Al | % | Vinnepand, Mathias | ||
| 12 | Zirconium | Zr | % | Vinnepand, Mathias | ||
| 13 | Vanadium | V | % | Vinnepand, Mathias | ||
| 14 | Strontium | Sr | % | Vinnepand, Mathias | ||
| 15 | Magnesium | Mg | % | Vinnepand, Mathias | ||
| 16 | Potassium | K | % | Vinnepand, Mathias | ||
| 17 | Rubidium | Rb | % | Vinnepand, Mathias | ||
| 18 | Sodium | Na | % | Vinnepand, Mathias |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
7857 data points
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